Contribution of Different Subbands of ECG in Sleep Apnea Detection Evaluated Using Filter Bank Decomposition and a Convolutional Neural Network.
Cheng-Yu YehHung-Yu ChangJiy-Yao HuChun-Cheng LinPublished in: Sensors (2022)
Keyphrases
- filter bank
- wavelet packet
- subband
- convolutional neural network
- quadrature mirror
- steerable pyramid
- image coding
- signal processing
- multiscale decomposition
- sleep apnea
- subband coding
- multiresolution
- multiscale
- wavelet transform
- frequency domain
- perfect reconstruction
- face detection
- detection method
- object detection
- computationally efficient
- wavelet filters
- image compression
- lifting scheme
- low pass
- frequency band
- bit rate
- reconstruction error
- discrete cosine transform
- coding gain
- detection algorithm
- feature selection
- sleep stage
- feature vectors
- obstructive sleep apnea
- wavelet coefficients
- computer vision
- wavelet decomposition
- neural network
- digital signal
- video sequences
- low frequency
- wavelet domain
- pattern recognition
- high frequency
- denoising